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Dive into the research topics where Eva Češková is active.

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Featured researches published by Eva Češková.


Gynecological Endocrinology | 2007

Clinical diagnostic criteria for premenstrual syndrome and guidelines for their quantification for research studies

Uriel Halbreich; Torbjörn Bäckström; Elias Eriksson; Shawn O'brien; Helena Maria Calil; Eva Češková; Lorraine Dennerstein; Saida Douki; Ellen W. Freeman; Andrea R. Genazzani; Isabella Heuser; Nadia Kadri; Andrea J. Rapkin; Meir Steiner; Hans-Ulrich Wittchen; Kimberly A. Yonkers

Premenstrual syndrome (PMS) encompasses a variety of symptoms appearing during the luteal phase of the menstrual cycle. Although PMS is widely recognized, the etiology remains unclear and it lacks definitive, universally accepted diagnostic criteria. To address these issues an international multidisciplinary group of experts evaluated the current definitions and diagnostic criteria of PMS and premenstrual dysphoric disorder (PMDD). Following extensive correspondence, a consensus meeting was held with the aim of producing updated diagnostic criteria for PMS and guidelines for clinical and research applications. This report presents the conclusions and recommendations of the group. It is hoped that the criteria proposed by the group will become widely accepted and eventually be incorporated into the next edition of the World Health Organizations International Classification of Diseases (ICD-11). It is also hoped that the proposed guidelines for quantification of criteria will be used by clinicians and investigators to facilitate diagnostic uniformity in the field as well as adequate treatment modalities when warranted.


Progress in Neuro-psychopharmacology & Biological Psychiatry | 2007

Prefrontal but not temporal grey matter changes in males with first-episode schizophrenia.

Tomáš Kašpárek; Radovan Přikryl; Michal Mikl; Daniel Schwarz; Eva Češková; Petr Krupa

INTRODUCTION Changes of brain morphology are now considered as a part of the pathology of schizophrenia. Voxel-based morphometry may be used to study regional changes of the grey matter in the whole brain. It is advantageous to study first-episode patients to prevent the influence of many possible biasing factors when trying to identify primary pathological processes underlying the manifestation of the illness. OBJECTIVE To investigate regional grey matter changes in the first-episode schizophrenia patients. METHODS Optimized voxel-based morphometry was used to detect changes in grey matter volume in 22 patients with first-episode schizophrenia compared with 18 healthy volunteers of comparable age, gender and handedness. RESULTS The first-episode schizophrenia group had significantly reduced grey matter volume in the prefrontal cortex (inferior and middle prefrontal gyrus, cingulate gyrus). We identified no differences in the temporal cortex. CONCLUSION Our data support the theoretical assumption that prefrontal dysfunction underlines the primary pathology and clinical manifestation of schizophrenia. We are inclined to explain the differences in the pattern of morphological changes reported in other first-episode studies--especially the lack of changes in the temporal cortex--by heterogeneity of schizophrenia, potential progression and antipsychotic medication effect.


Human Brain Mapping | 2009

Source-based morphometry of gray matter volume in men with first-episode schizophrenia.

Tomáš Kašpárek; Radek Mareček; Daniel Schwarz; Radovan Prikryl; Jiri Vanicek; Michal Mikl; Eva Češková

Objectives: There is a lot of variability between the results of studies reporting the pattern of gray matter volume changes in schizophrenia. Methodological issues may play an important role in this heterogeneity. The aim of the present study was to replicate the better performance of multivariate “source‐based morphometry” (SBM) over the mass‐univariate approach. Experimental design: Voxel‐based morphometry of Jacobian‐modulated gray matter volume images, using voxel and cluster level inference, and SBM were performed in a group of first‐episode schizophrenia patients (N = 49) and healthy controls (N = 127). Results: Using SBM we were able to find a significant reduction of gray matter volume in fronto‐temporo‐cerebellar areas whereas no significant results were obtained using voxel‐based morphometry. Conclusion: Multivariate analysis of gray matter volume seems to be a suitable method for characterization of the pattern of changes at the beginning of the illness in schizophrenia subjects. Hum Brain Mapp, 2010.


Psychiatry Research-neuroimaging | 2011

Maximum-uncertainty linear discrimination analysis of first-episode schizophrenia subjects.

Tomáš Kašpárek; Carlos Eduardo Thomaz; João Ricardo Sato; Daniel Schwarz; Eva Janoušová; Radek Mareček; Radovan Prikryl; Jiri Vanicek; André Fujita; Eva Češková

Recent techniques of image analysis brought the possibility to recognize subjects based on discriminative image features. We performed a magnetic resonance imaging (MRI)-based classification study to assess its usefulness for outcome prediction of first-episode schizophrenia patients (FES). We included 39 FES patients and 39 healthy controls (HC) and performed the maximum-uncertainty linear discrimination analysis (MLDA) of MRI brain intensity images. The classification accuracy index (CA) was correlated with the Positive and Negative Syndrome Scale (PANSS) and the Global Assessment of Functioning scale (GAF) at 1-year follow-up. The rate of correct classifications of patients with poor and good outcomes was analyzed using chi-square tests. MLDA classification was significantly better than classification by chance. Leave-one-out accuracy was 72%. CA correlated significantly with PANSS and GAF scores at the 1-year follow-up. Moreover, significantly more patients with poor outcome than those with good outcome were classified correctly. MLDA of brain MR intensity features is, therefore, able to correctly classify a significant number of FES patients, and the discriminative features are clinically relevant for clinical presentation 1 year after the first episode of schizophrenia. The accuracy of the current approach is, however, insufficient to be used in clinical practice immediately. Several methodological issues need to be addressed to increase the usefulness of this classification approach.


Journal of Sex & Marital Therapy | 2007

Links among paroxetine-induced sexual dysfunctions, gender, and CYP2D6 activity.

Alexandra Žourková; Eva Češková; Eva McCaskey Hadašová; Barbora Ravčuková

The aim of the study was to compare the distribution of therapeutic efficacy and sexual dysfunction during maintenance paroxetine treatment in 17 males and 38 females genotyped and phenotyped to determine their CYP2D6 metabolic status. Clinical results were monitored on scales Clinical Global Impression-Severity of Illness Scale (CGIS) and Arizona Sexual Experience Scale (ASEX). The phenotype procedure showed 7 males and 12 females with extensive metabolic status (EM) and 10 males and 26 females with poor metabolic status (PM). No variation in therapeutic efficacy between male and female subjects classified as PM and those marked as EM was found. A significantly higher rate of sexual dysfunction (p = 0.01) was recorded among females with a PM phenotype.


Progress in Neuro-psychopharmacology & Biological Psychiatry | 2009

Gray matter morphology and the level of functioning in one-year follow-up of first-episode schizophrenia patients.

Tomáš Kašpárek; Radovan Prikryl; Daniel Schwarz; Hana Přikrylová Kučerová; Radek Mareček; Michal Mikl; Jiri Vanicek; Eva Češková

UNLABELLED Schizophrenia is a condition with a highly variable course that is hard to predict. The aim of the present study was to investigate if local gray matter volume (GMV) can differentiate poor (PF) and good (GF) functioning patients using voxel-wise analysis in a group of first-episode schizophrenia subjects (FES). METHOD 32 FES male patients were assessed twice: at the time of the first episode of schizophrenia and one year later. 18 healthy controls matched for age, gender, and handedness were also included. Local gray matter volume was analyzed using voxel-wise full-factorial design with factors group (GF, PF) and time. RESULTS FES subjects had bilateral gray matter reduction in the lateral prefrontal cortex as compared with healthy controls. PF subjects had smaller GMV in the left orbitofrontal and frontopolar cortex. CONCLUSION GMV in the left prefrontal cortex differentiates later poor and good functioning schizophrenia patients. Morphological analysis might be considered a candidate for a biological marker in outcome prediction. However, the small sample size, and the lack of female subjects limit generalization of results. Moreover, studies analyzing the predictive value of brain morphology on a single-subject level should be performed to assess its real usefulness in outcome prediction.


Progress in Neuro-psychopharmacology & Biological Psychiatry | 2014

Repetitive transcranial magnetic stimulation reduces cigarette consumption in schizophrenia patients

Radovan Prikryl; Libor Ustohal; Hana Kučerová; Tomáš Kašpárek; Jiri Jarkovsky; Veronika Hublová; Michaela Vrzalová; Eva Češková

INTRODUCTION High-frequency repetitive transcranial magnetic stimulation (rTMS) over the left dorsolateral prefrontal cortex (DLPFC) seemed to decrease tobacco consumption and craving in nicotine-dependent people without psychiatric disorder or otherwise healthy people. Even if the prevalence of cigarette smoking in schizophrenia patients is high and estimated to be between 45% and 88%, this technique has not been systematically studied in this indication in schizophrenia yet. THE AIM OF THE STUDY The aim of this study was to test the ability of high-frequency (10Hz) rTMS over the left DLPFC to decrease cigarette consumption in schizophrenia patients. METHODS The study included 35 male schizophrenia patients on stable antipsychotic medication. The patients were divided into two groups: the first (18 patients) were actively stimulated and the second (17 patients) underwent sham (placebo) stimulation. The sham rTMS was administered using a purpose-built sham coil that was identical in appearance to the real coil and made the same noise but did not deliver a substantial stimulus. The rTMS was administered at the stimulation parameters: location (left dorsolateral prefrontal cortex: DLPFC), intensity of magnetic stimulation in % of motor threshold (110%), stimulation frequency (10Hz), number of trains (20), single train duration (10s), inter-train interval (30s), and total number of stimulation sessions (21). In each stimulation session, 2000TMSpulses were given, with a total of 42,000pulses per treatment course. Patients noted the number of cigarettes smoked in the 7days before treatment, during the whole stimulation treatment (21days), and again for a 7-day period after treatment. RESULTS Cigarette consumption was statistically significantly lower in the actively stimulated patients than in the sham rTMS group as early as the first week of stimulation. No statistically relevant correlations were found in the changes of ongoing negative or depressive schizophrenia symptoms and the number of cigarettes smoked. CONCLUSION High-frequency rTMS over the left DLPFC has the ability to decrease the number of cigarettes smoked in schizophrenia patients.


Schizophrenia Research and Treatment | 2012

Role of Long-Acting Injectable Second-Generation Antipsychotics in the Treatment of First-Episode Schizophrenia: A Clinical Perspective

Radovan Přikryl; Hana Přikrylová Kučerová; Michaela Vrzalová; Eva Češková

Approximately 80% of patients with the first-episode schizophrenia reach symptomatic remission after antipsychotic therapy. However, within two years most of them relapse, mainly due to low levels of insight into the illness and nonadherence to their oral medication. Therefore, although the formal data available is limited, many experts recommend prescribing long-acting injectable second-generation antipsychotics (mostly risperidone or alternatively paliperidone) in the early stages of schizophrenia, particularly in patients who have benefited from the original oral molecule in the past and agree to receive long-term injectable treatment. Early application of long-acting injectable second-generation antipsychotics can significantly reduce the risk of relapse in the future and thus improve not only the social and working potential of patients with schizophrenia but also their quality of life.


Human Brain Mapping | 2012

Brain Functional Connectivity of Male Patients in Remission After the First Episode of Schizophrenia

Tomáš Kašpárek; Radovan Prikryl; Jitka Rehulova; Radek Mareček; Michal Mikl; Hana Prikrylova; Jiri Vanicek; Eva Češková

Objectives: Abnormal task‐related activation and connectivity is present in schizophrenia. The aim of this study was the analysis of functional networks in schizophrenia patients in remission after the first episode. Experimental design: Twenty‐nine male patients in remission after the first episode of schizophrenia and 22 healthy controls underwent examination by functional magnetic resonance during verbal fluency tasks (VFT). The functional connectivity of brain networks was analyzed using independent component analysis. Results: The patients showed lower activation of the salience network during VFT. They also showed lower deactivation of the default mode network (DMN) during VFT processing. Spectral analysis of the component time courses showed decreased power in slow frequencies of signal fluctuations in the salience and DMNs and increased power in higher frequencies in the left frontoparietal cortex reflecting higher fluctuations of the network activity. Moreover, there was decreased similarity of component time courses in schizophrenia—the patients had smaller negative correlation between VFT activated and deactivated networks, and smaller positive correlations between DMN subcomponents. Conclusions: There is still an abnormal functional connectivity of several brain networks in remission after the first episode of schizophrenia. The effect of different treatment modalities on brain connectivity, together with temporal dynamics of this functional abnormality should be the objective of further studies to assess its potential as a marker of disease stabilization. Hum Brain Mapp, 2013.


Clinical and Experimental Pharmacology and Physiology | 2007

ALZHEIMER DISEASE: MALNUTRITION AND NUTRITIONAL SUPPORT

Miroslava Navrátilová; Jiří Jarkovský; Eva Češková; Brian Leonard; L. Sobotka

1 Alzheimers disease (AD) is a degenerative disease of the central nervous system and its progression is often connected with a development of severe malnutrition. However, sufficient data on nutritional state and intervention regarding the progression of AD are not yet available. The aim of the present study was to assess the relationship between nutritional support and the improvement, or the maintenance, of patients’ health. 2 One hundred AD patients were included in a 2 year study. Voluntary food intake was measured during the first year, following which patients were randomized into one of two groups. The study group received a 600 kcal supplement to their regular diet, whereas the control group continued on the standard diet. Nutritional parameters, voluntary food intake and mental state were monitored every 2nd month of the study period. 3 Patients with Alzheimers dementia who died had been suffering from severe malnutrition during the last 3 months of their lives. A significant decline in mental functions was discovered in AD patients also suffering from malnutrition. Nutritional support significantly slowed the deterioration of the mental function of AD patients. 4 The present study shows that patients with AD are undernourished despite normal voluntary energy intake. Nutritional intervention significantly decreased the progression of deterioration of the mental function of AD patients, as well as other complications. It is concluded that dietary counselling and nutritional support in patients with AD are clinically important and reduce the impairment of mental function.

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Michal Mikl

Central European Institute of Technology

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Alexandra Žourková

Central European Institute of Technology

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